Three-dimensional medical image analysis method and system for identification of vertebral fractures

a three-dimensional medical image and imaging technology, applied in image enhancement, tomography, instruments, etc., can solve the problems of difficult clinical assessment of vertebral fractures, low screening and early diagnosis of patients with vertebral fractures by bone care givers in clinical centers
US20200364856A1Active Publication Date: 2020-11-19UCB PHARMA SRL
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
UCB PHARMA SRL
Publication Date
2020-11-19

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Abstract

A machine-based learning method estimates a probability of bone fractures in a 3D image, more specifically vertebral fractures. The method and system utilizing such method utilize a data-driven computational model to learn 3D image features for classifying vertebra fractures. A three-dimensional medical image analysis system for predicting a presence of a vertebral fracture in a subject includes a 3D image processor for receiving and processing 3D image data of a 3D image of the subject, producing two or more sets of 3D voxels. Each of the sets of 3D voxels corresponds to an entirety of the 3D image and each of the sets of 3D voxels consists of equal 3D voxels of different dimensions. The system also includes a voxel classifier for assigning the 3D voxels one or more class probabilities each of the 3D voxels contains a fracture using a computational model, and a fracture probability estimator for estimating a probability of the presence of a vertebral fracture in the subject.
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Description

[0001] The present disclosure relates to medical image analysis and provides a system and a method for identification of bone fractures in 3D images, more specifically vertebral fractures.BACKGROUND

[0002] Osteoporosis is a disease affecting bones where increased bone weakness increases the risk of bone fractures. Common osteoporotic fractures occur in the vertebrae in the spine, the bones of the forearm, and the hip. Every 3 seconds an osteoporotic fracture occurs, with vertebral fractures being the most common (Johnell et al, 2006). Vertebral fractures are predictive of subsequent fractures, e.g. patients with moderate or severe vertebral fractures have 4.8 to 6.7 times higher risk of subsequent hip fracture (Buckens et al., 2014). Roux et al demonstrated that 1 out of 4 patients with incident mild vertebral fractures will most probably have a fracture again within subsequent 2 years (Roux et al., 2007).

[0003] Clinical assessment of vertebral fractures is difficult because many patien...

Claims

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